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MarkBase Admin ac75faa0cc
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Initial commit: E4B-MarkBase model integration with passing tests
- E4B-MarkBase model (42 layers, 4.4GB) loaded successfully
- All Phase 1-6 tests passed (model loading, forward pass, vision/audio towers, token generation, performance)
- All stress tests passed (5/5 in 127.6s)
  - Concurrent inference
  - Memory stress (67.5 tok/s, 0 NaN)
  - Continuous generation
  - Batch processing
  - Long-running stability
- Swift Metal inference engine with multimodal support
2026-06-23 18:12:35 +08:00

47 lines
2.3 KiB
Swift

import XCTest
@testable import MarkBase
class MinimalTextLayerTest: XCTestCase {
func testMinimalTextLayer() throws {
print("\n═══════════════════════════════════════════════════════════════════")
print(" Minimal TEXT Layer Test")
print("═══════════════════════════════════════════════════════════════════\n")
let modelPath = "/Users/accusys/MarkBaseEngine/models/gemma-4-e2b-it-4bit"
guard FileManager.default.fileExists(atPath: modelPath) else {
print("⚠ Model not found at \(modelPath), skipping")
return
}
let engine = try MarkBaseEngine(autoCompile: true)
// Load model
print("Loading E4B model...")
let model = try E4BModel(modelDir: modelPath, engine: engine, maxContextLength: 128)
print("✓ Model loaded")
print(" Layers: \(model.numHiddenLayers)")
print(" Hidden: \(model.hiddenSize)")
print(" Vocab: \(model.vocabSize)")
// Test forward pass with debug
print("\nTesting forward pass...")
let tokenId: UInt32 = 2 // BOS token
let result = try model.forwardOptimized(tokenId: Int(tokenId), position: 0)
print("Forward result sample: \(result.prefix(10))")
let nanCount = result.filter { $0.isNaN }.count
print("NaN count: \(nanCount)/\(result.count)")
if nanCount > 0 {
print("✗ Forward pass produced NaN!")
} else {
print("✓ Forward pass OK")
}
print("\n═══════════════════════════════════════════════════════════════════")
print(" Test completed")
print("═══════════════════════════════════════════════════════════════════\n")
}
}